PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-06-23 10:21:43.211313+00:00 (UTC)
In US/Central Time, this is 2024-06-23 05:21:43.211313-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/f4bae41f6027e5d1c6d4b813811a7cb9900761a7204cb82c26a879604ac60b69.png
We are just generating a random time serie here.
../../_images/25ae1a0d25bd7f20f7fa0fa8934bdecde002239f5173ac2506b39022af209d10.png
../../_images/414c2ce53cdcea6cf7372148c3ebc615cdcdda2ce9df4bc8d90a12083c3f6ada.png